Title 1: An Embarrassingly Simple Approach to Zero-Shot Learning
Abstract: Zero-shot learning consists in learning how to recognise new concepts by just having a description of them. Many sophisticated approaches...
Title 1: An Embarrassingly Simple Approach to Zero-Shot Learning
Abstract: Zero-shot learning consists in learning how to recognise new concepts by just having a description of them. Many sophisticated approaches...
The Product Management Club meets weekly on Tuesday nights to discuss trends in technology, conduct product thinking seminars, work on case studies, read books, and occasionally prep together for PM recruitment. All UMass...
At Adobe, we believe in embracing differences. John Warnock and Chuck Geschke founded Adobe based on fundamental principles: Our people are our most important asset. Good ideas come from everywhere. Build a company where...
Abstract: The abundance of data, coupled with cheap and widely-available computing and storage, has revolutionized science, industry and government. Now, to a large extent, the bottleneck to obtaining actionable insights...
Join us for our first CICS Research Night! An event designed to introduce undergraduates to research opportunities in the Manning College of Information and Computer Sciences. The event has two parts: 1) a panel...
Title: Assistant In a Box: Leveraging The Power of Large Language Models
Abstract: Large Language Models (LLMs) are larger and more accessible than ever with more capabilities being discovered on a daily basis....
There's never been a better time to consider a master's in computer science. The U.S. Bureau of Labor Statistics projects 15 percent job growth in computer and information research science through 2029, much faster than...
Join us virtually to hear from faculty member, Ivon Arroyo, in the first installment of the (Our)story series this academic year, where CICS community members share stories about their personal or professional journeys,...
Abstract: In this talk, we discuss a recent trend in the design of online algorithms in which the online algorithm is enhanced with (potentially erroneous) predictions about the input sequence. The goal is to design...
Title: Coopetitions for IR Evaluation
Abstract: Coopetitions are activities in which competitors cooperate for a common good. Community evaluations such as the Text REtrieval Conference (TREC, trec.nist.gov) are...